Triple

T22527639
Position Surface form Disambiguated ID Type / Status
Subject Nadine Labaki E556950 entity
Predicate directed P7373 FINISHED
Object Capernaum NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Capernaum | Statement: [Nadine Labaki, directed, Capernaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capernaum
Context triple: [Nadine Labaki, directed, Capernaum]
  • A. Capernaum chosen
    Capernaum was an ancient fishing village on the northwestern shore of the Sea of Galilee that became a central setting for Jesus’ ministry in the New Testament.
  • B. Bethsaida
    Bethsaida was an ancient fishing village on the Sea of Galilee, traditionally known as the hometown of several of Jesus’s apostles in the New Testament.
  • C. Chorazin
    Chorazin was an ancient Galilean town near Capernaum, mentioned in the New Testament as one of the cities rebuked by Jesus for its unrepentance despite witnessing his miracles.
  • D. Tabgha
    Tabgha is a lakeside area on the northwestern shore of the Sea of Galilee in Israel, traditionally revered as the site of the miracle of the multiplication of the loaves and fishes.
  • E. Nazaret
    Nazaret is a coastal neighborhood in the Poblats Marítims district of Valencia, Spain, known for its maritime character and proximity to the port.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed411488190a51320930b9805c2 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.